Summary
Walks you through building agent skills with the right structure: lean main instructions, supporting files in references and assets, and optional skillgrade evals for regression testing. The focus is progressive disclosure, so the agent only reads what it needs when it needs it. Use this when you're spinning up a new skill directory or tightening up metadata so the router can find it. The inline shell command advice is smart: only snapshot state when it actually improves the prompt, and keep it deterministic. If you're maintaining a skill library or building tools for Claude, this codifies the workflow so you're not reinventing structure every time.
Install to Claude Code
npx -y skills add cap-go/capgo-skills --skill skill-creator --agent claude-codeInstalls into .claude/skills of the current project.
Plug Mailtrap into your AI workflow and let it handle the email.
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Agent, run crypto. Access onchain data & trade routes via 1inch.
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Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
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Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
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one prompt install →Files
SKILL.md
Select a file.
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
